From the above description of the data in the DataFrame, we can clearly see that, numerical columns like Year, Duration, and Votes are in object datatype. We have preprocess the data and change its datatype to numerical columns. As we can clearly see that, every column has null values except 'Name' column. So, let's check null values in the entire row except the 'Name' column. So we can clearly see that, null values are handled and we can proceed to the next step. Now, after data preprocessing, we have 12,235 rows and 10 columns. Hence we can proceed to perform analysis for this dataset.